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Course Outline
Introduction
Overview of Microsoft Power Platform Features
- Power Platform main components
- Integration with Office 365, Dynamics 365, and third-party apps
- Data sources and connectors
Getting Started with Microsoft Power Platform
- Microsoft Dataverse basics (formally Common Data Service (CDS))
- Tables and columns
- Relationships and environments
- Business rules
- Power Platform admin center
Building Simple Applications with Power Apps
- Connecting with common data sources
- Different app types
- No code artificial intelligence (AI)
- Security, governance, and reporting features
- Power Apps Portals
Creating Different Applications with Power Apps
- Building a canvas app
- Basic elements and functions
- Connecting to a data source
- Creating a model-driven app
- Building blocks (data, user interface, logic, visualization)
- Creating a form
- Security and access control
Automating Processes with Power Automate
- Flow types
- Flow templates
- Recurring flows
- Button flow
- Approval requests
- Business process flow
Generating Reports and Dashboards with Power BI
- Power BI parts, concepts, and capacities
- Components (workspaces, datasets, reports, dashboards)
- Template apps
- Visualizations (charts, KPIs, maps, matrices, etc.)
- Data filters and buttons
- Transforming and cleaning data
- Working with aggregates
- Security and administration
- Building a simple dashboard
Creating Chatbots with Power Virtual Agents
- Key components
- Creating a chatbot
- Working with topics
- Testing and publishing
- Analyzing a chatbot
Exploring Advanced Power Platform Topics
- Administration guide
- Application lifecycle management
- Power Platform best practices
- AI Builder
Troubleshooting
Summary and Conclusion
Requirements
- A general understanding of Microsoft Office 365 and Dynamics 365 concepts
- Familiarity with app development, workflow automation, and data analysis
Audience
- Business staff
- Managers
- Developers
- Data analysts
Testimonials
His deep knowledge about the subject
MATLAB Fundamentals, Data Science & Report Generation Course
Got to know new features in OS which I wasn't aware before.
Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Search and Analytics with Amazon OpenSearch Course
the trainer was very good and made the training perfect for my needs
Florentin - Brenda TSATSU, EXPERIS
Search and Analytics with Amazon OpenSearch Course
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Charles Lim - Ministry of Defence, Singapore
Python for Data Analysis Course
It's very hands-on and I can follow despite the lack of calculus background.
Wei Pin Ho - Ministry of Defence, Singapore
Python for Data Analysis Course
Patience of the trainer while making sure everyone understand the lesson
Yeo Yu Xin - Ministry of Defence, Singapore
Python for Data Analysis Course
The training materials.
Mona Dobre - Oana Panceaa, DB Global Technology
SQL Advanced level for Analysts Course
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Data and Analytics - from the ground up Course
learning how to use excel properly
Torin Mitchell
Data and Analytics - from the ground up Course
The way the trainer made complex subjects easy to understand.
Adam Drewry
Data and Analytics - from the ground up Course
His deep knowledge about the subject
MATLAB Fundamentals, Data Science & Report Generation Course
I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.
Jeán Thysse - Quidco
Elasticsearch for Developers Course
Marcin knew exactly what he talking about and had proper hands on in-depth experience with the tools. He had answers to all our questions and made some really strong recommendations that we could start working towards with future projects and uses.
Conor Glasman - Quidco
Elasticsearch for Developers Course
Doing the exercises. I really enjoyed the practicals.
Warren Stephen - Quidco
Elasticsearch for Developers Course
Willingness to share more
Balaram Chandra Paul
A practical introduction to Data Analysis and Big Data Course
presentation of technologies
Continental AG / Abteilung: CF IT Finance
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Overall the Content was good.
Sameer Rohadia
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customized, in-house file processing and data analysis
Glycom A/S
Data Analysis in Python using Pandas and Numpy Course
That we have used our own data as examples
Glycom A/S
Data Analysis in Python using Pandas and Numpy Course
Trainer develops training based on participant's pace
Farris Chua
Data Analysis in Python using Pandas and Numpy Course
Liked very much the interactive way of learning.
Luigi Loiacono
Data Analysis with Hive/HiveQL Course
It was a very practical training, I liked the hands-on exercises.
Proximus
Data Analysis with Hive/HiveQL Course
good overview, good balance between theory and exercises
Proximus
Data Analysis with Hive/HiveQL Course
I get answers on all my questions.
Natalia Gladii
Data Analytics With R Course
Exercises on time series modeling
Teleperformance
Data Analytics With R Course
That the trainer provide alot of materials , files and reference to return to them later once need and for self study .
Abdulrahman E. Al Qahtani, Saudi Azm for Communication and Information Technology Co
SQL Advanced level for Analysts Course
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